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Turbomachinery airfoil design optimization using differential evolution (Document No: 20020051125)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Madavan, Nateri K. |
| Copyright Year | 2002 |
| Description | An aerodynamic design optimization procedure that is based on a evolutionary algorithm known at Differential Evolution is described. Differential Evolution is a simple, fast, and robust evolutionary strategy that has been proven effective in determining the global optimum for several difficult optimization problems, including highly nonlinear systems with discontinuities and multiple local optima. The method is combined with a Navier-Stokes solver that evaluates the various intermediate designs and provides inputs to the optimization procedure. An efficient constraint handling mechanism is also incorporated. Results are presented for the inverse design of a turbine airfoil from a modern jet engine and compared to earlier methods. The capability of the method to search large design spaces and obtain the optimal airfoils in an automatic fashion is demonstrated. Substantial reductions in the overall computing time requirements are achieved by using the algorithm in conjunction with neural networks. |
| File Size | 200722 |
| Page Count | 2 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20020051125 |
| Archival Resource Key | ark:/13960/t1bk6b06b |
| Language | English |
| Publisher Date | 2002-11-01 |
| Access Restriction | Open |
| Subject Keyword | Mechanical Engineering Navier-stokes Equation Neural Nets Turbomachinery Airfoils Nonlinear Systems Turbines Genetic Algorithms Design Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
